Update README.md

README.md

@@ -1,6 +1,5 @@
 ---
 license: other
-base_model: wisenut-nlp-team/wisenut-llama-3-8B-0.7-Instruct
 tags:
 - llama-factory
 - full
@@ -13,11 +12,6 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# 0.7
-
-This model is a fine-tuned version of [wisenut-nlp-team/wisenut-llama-3-8B-0.7-Instruct](https://huggingface.co/wisenut-nlp-team/wisenut-llama-3-8B-0.7-Instruct) on the data_recipe_v2_10k dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.1908
 
 ## Model description
 
@@ -35,20 +29,6 @@ More information needed
 
 ### Training hyperparameters
 
-The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 4
-- eval_batch_size: 4
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 2
-- gradient_accumulation_steps: 16
-- total_train_batch_size: 128
-- total_eval_batch_size: 8
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 20
-- num_epochs: 1.0
 
 ### Training results